Optimizing ML Workflows
Doris explains how directed acyclic graphs (DAGs) can significantly accelerate machine learning development by intelligently caching intermediate results, thereby avoiding redundant computations. She shares insights from her research at Google, highlighting the potential to reduce wasted computation and improve organizational efficiency, which could even impact the carbon footprint of large tech companies.In this clip
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